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Udemy

13+ Power BI Portfolio Projects with DAX & SQL (2026)

via Udemy

Overview

Master data integration, cleaning, modeling and visualization with 10+ sources, including on-prem and cloud platforms.

What you'll learn:
  • Master Data Integration Techniques : Learn to integrate data from sources like Snowflake, BigQuery, and SQL databases, ensuring data consistency for analysis.
  • Cleanse and Transform Data for Analysis : Develop skills to clean and preprocess raw data, handling missing values, duplicates, and transforming data.
  • Create Interactive Data Visualizations and Reports : Learn to create impactful dashboards and reports using Power BI to communicate insights.
  • Security/Refreshing Reports : Learn to implement row-level and column-level security and set up automatic data refresh to keep reports secure and up-to-date.
  • Report Sharing : Explore at least 5 methods of sharing reports, including through apps, Teams, publishing to the web, and more for seamless collaboration.

This comprehensive course is designed to help you start your career as a Data Analyst or Power BI Developer. You will gain essential skills in data integration, cleaning, modeling, and visualization. Learn to work with a broad range of data sources, both on-premises and in the cloud, including Snowflake, SQL Server, MySQL, Azure SQL Database, Google BigQuery, Amazon Athena, SharePoint, OneDrive, Dataflows, and flat files. The course covers key concepts in importing, transforming, and integrating data from these diverse systems.

With hands-on projects, you’ll master Power BI, learning to create interactive reports, dashboards, and visualizations that clearly communicate insights. Additionally, you’ll gain expertise in implementing row-level security to protect sensitive information and setting up automated report refreshes. You'll also learn best practices for maintaining data security and ensuring compliance with privacy standards.

By the end of the course, you will have developed a strong understanding of data analysis techniques, along with a solid portfolio of real-world projects to showcase. Whether you're just starting out or looking to enhance your existing skills, this course provides the tools and knowledge to succeed as a Data Analyst or Power BI Developer. It's the ideal foundation for anyone aiming to start a career in the data industry.

Syllabus

  • Introduction
  • ESPN Cricket Data Analysis (Data Source : Web)
  • Power BI Role Play
  • Panic Attacks Data Analysis (Data Source Snowflake)
  • Google Cloud Platform, Housing Data Analysis (Data Source : Google Big Query)
  • Mobile Dataset Analysis (Data Source : Sharepoint Folder)
  • HealthCare Data Analysis (Data Source : SQL Server, Data Volume 20M Records)
  • Loan Default Data Analysis (Data Source : Dataflows)
  • Inventory Data Analysis (Data Source MYSQL Database & SQL Server)
  • Fruits Sales Dashboard ( Source : Microsoft OneDrive & Power BI Semantic Models)
  • Azure + Power BI Project (Data Source : Azure SQL Database)
  • AWS + Power BI Project (Data Source : ODBC & Amazon Athena)
  • Sales Data Analysis (Data Model : Star Schema)
  • Insurance Data Analysis
  • UPI Transactions Data Analysis
  • Power BI Project Using AI Tools
  • Data Analysis Expressions (DAX)
  • Uploading Power BI Projects to Github Account
  • Miscellaneous

Taught by

Insigh BI Solutions Pvt Ltd and KRISHAI Technologies Private Limited

Reviews

4.5 rating at Udemy based on 639 ratings

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